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Design, integrate, and evolve high-performing data solutions using technologies like SQL, Python, R, Oracle, Snowflake, Azure Databricks, and others to support business objectives.
Senior data specialist enabling PSP Investments’ global pension fund analytics by designing data roadmaps, integrating internal/external data, ensuring quality, and driving AI adoption to support investment decisions.
Manufacturing is a $50T industry, and its highest-value work still runs through human hands: aircraft assemblies, medical devices, vehicle components. But the floor rarely runs the way the work instructions say it…
Data Analytics Consultant supporting customer marketing campaigns, managing end-to-end campaign analytics and transitioning processes from SAS to Python on AWS. Core technologies include SAS, SQL, Python, and Power BI.
Senior ML Engineer builds, deploys, and maintains end-to-end machine learning solutions in cloud environments using Python, SQL, Azure ML, Databricks, and MLOps practices.
Architect and develop Salesforce AI and Data Cloud solutions, owning the full lifecycle from data architecture through deployment and support using Data Cloud, Data360, and Agentforce.
Applies machine learning and AI to develop fraud detection models, automate workflows, and collaborate with stakeholders; uses Python, SQL, and ML frameworks.
Data Scientist developing and deploying ML models to improve customer acquisition, retention, and business performance using AI, ML, data mining, and analytics to build scalable data products focused on customer experience and growth.
Lead requirements gathering and translate business needs into functional specs; design and maintain Power BI reports for Logistics with SAP ECC/S4 familiarity to support data-driven decisions.
Data Analyst on the Event Analysis and Insight team analyzing post-event data, creating reports/visualizations, collaborating with development teams, and writing scripts; core technology is Python.
Design and optimize Azure-based data solutions, pipelines, and models using PowerBI, SQL, and AI technologies to support business intelligence and governance.
Data Analyst working on post-event data analysis, creating reports and visualizations, using Python for data manipulation and visualization, and developing scripts for data gathering and manipulation.
Data Analyst at Vretta's Data and Evaluation team, responsible for validating technical requirements, developing APIs, collaborating with teams, and maintaining processes for student learning; core technologies include JavaScript, R, REST APIs, and SQL.
Designs and builds scalable AWS-based ML/data infrastructure for enterprise AI solutions, focusing on MLOps, feature engineering, and governance to enable production-ready AI at scale.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Lead a team of ML engineers to architect and deliver AI solutions for financial services, focusing on Gen AI and ML systems while providing technical direction and hands-on support.
Data Scientist on a 10-person Alpha Science team at a large Canadian pension fund, building data pipelines and ML models in Python and SQL to generate investment insights across asset classes.
Build and deploy Generative AI systems for RBC Capital Markets sales teams, focusing on client intelligence, deal summarization, and real-time conversation analysis using Python, LLMs, and RAG.
Senior ML Engineer supporting AI CoE's ML initiatives in Canada, building/deploying/operationalizing ML solutions in cloud environments with SQL and Python expertise.
Engineering Systems Analyst III at Janicki Industries solves engineering and product lifecycle information problems by analyzing requirements and configuring CAD/PLM platforms. The role involves contributing to dashboards, data queries, and system implementations from requirements through go-live and stabilization across aerospace, space, and defense sectors.
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